GSCA: an integrated platform for gene set cancer analysis at genomic, pharmacogenomic and immunogenomic levels

• Published in: Briefings in bioinformatics Vol. 24; no. 1
• Main Authors: Liu, Chun-Jie, Hu, Fei-Fei, Xie, Gui-Yan, Miao, Ya-Ru, Li, Xin-Wen, Zeng, Yan, Guo, An-Yuan
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 19.01.2023; Oxford Publishing Limited (England)
• Subjects: 1-Phosphatidylinositol 3-kinase; Cancer; Cell cycle; Clinical outcomes; Gene expression; Genes; Genomic analysis; Genomics; Genomics - methods; Humans; Immune system; Infiltration; Metastases; Mutation; Neoplasms - drug therapy; Neoplasms - genetics; Oncogenes; Pharmacogenetics; Pharmacogenomics; Phosphatidylinositol 3-Kinases - genetics; Sensitivity analysis; Signal to noise ratio; Tumor suppressor genes; Tumors; immunogenomics; clinical outcomes; gene set; cancer analysis; web server

Abstract Cancer initiation and progression are likely caused by the dysregulation of biological pathways. Gene set analysis (GSA) could improve the signal-to-noise ratio and identify potential biological insights on the gene set level. However, platforms exploring cancer multi-omics data using GSA m...